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Multiple-Step Greedy Policies in Online and Approximate Reinforcement
  Learning

Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning

21 May 2018
Yonathan Efroni
Gal Dalal
B. Scherrer
Shie Mannor
    OffRL
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Papers citing "Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning"

5 / 5 papers shown
Title
On-line Policy Improvement using Monte-Carlo Search
On-line Policy Improvement using Monte-Carlo Search
Gerald Tesauro
Gregory R. Galperin
92
270
0
09 Jan 2025
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum
  Markov Games
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games
Anna Winnicki
R. Srikant
34
1
0
17 Mar 2023
Planning and Learning with Adaptive Lookahead
Planning and Learning with Adaptive Lookahead
Aviv A. Rosenberg
Assaf Hallak
Shie Mannor
Gal Chechik
Gal Dalal
21
7
0
28 Jan 2022
The Role of Lookahead and Approximate Policy Evaluation in Reinforcement
  Learning with Linear Value Function Approximation
The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation
Anna Winnicki
Joseph Lubars
Michael Livesay
R. Srikant
25
3
0
28 Sep 2021
Beyond the One Step Greedy Approach in Reinforcement Learning
Beyond the One Step Greedy Approach in Reinforcement Learning
Yonathan Efroni
Gal Dalal
B. Scherrer
Shie Mannor
OffRL
53
48
0
10 Feb 2018
1